Triple
T12368739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longyan |
E294939
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Xinluo District
Xinluo District is the central urban district and administrative seat of Longyan City in Fujian Province, China.
|
E1007343
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Xinluo District | Statement: [Longyan, contains, Xinluo District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinluo District Context triple: [Longyan, contains, Xinluo District]
-
A.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Jinjiang District
Jinjiang District is a central urban district of Chengdu, China, known for its commercial vitality, dense population, and riverside cityscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xinluo District Triple: [Longyan, contains, Xinluo District]
Generated description
Xinluo District is the central urban district and administrative seat of Longyan City in Fujian Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinluo District Target entity description: Xinluo District is the central urban district and administrative seat of Longyan City in Fujian Province, China.
-
A.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Jinjiang District
Jinjiang District is a central urban district of Chengdu, China, known for its commercial vitality, dense population, and riverside cityscape.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8077d081908e226e5bf856bcbf |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69c8469548190b05d8fa010e0ca13 |
completed | May 3, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d4ef7988190890f8a62280aa673 |
completed | May 3, 2026, 12:56 a.m. |
Created at: April 8, 2026, 9:54 p.m.